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# Conformal Mapping

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SOME PROBLEMS IN CONFORMAL MAPPING
D. C. SPENCER

1. Introduction. Attention will be confined to a group of problems centering around so-called schlicht functions—that is, functions regular in a given domain and assuming no value there more than once. The type of problem we consider involves determination of precise bounds for certain quantities depending on the function/, as ƒ ranges over the schlicht functions in question. Since, for suitable normalization of the functions at some fixed point of the domain, the resulting family of functions is compact or normal, the extremal schlicht functions always exist and the problem is to characterize them. Interest was focused on this category of questions by the work of Koebe in the years 1907-1909, who established for the family of funct i o n s / o f the form ƒ(z) = z+a2Z2+aszz+ • • • , schlicht and regular in \z\ < 1 , a series of properties, among them the theorem of distortion bearing Koebe's name. This theorem asserts the existence of bounds for the absolute value of the derivative ƒ'(s), these bounds depending only on \z\. Further efforts were directed toward finding the precise values of the bounds asserted by Koebe's theorem, but success was not attained until 1916 when Bieberbach, Faber, Pick and others gave a final form to the theorem of distortion. At the same time the precise bound for | a2\ was given, namely 2, and the now famous conjecture was made that \an\ ^n for every n. Since 1916 this group of problems has attracted the attention of many, and there is now a considerable literature. The present state of this sphere of questions will be described briefly in a general sort of way, and a few outstanding problems will be indicated, but no attempt at completeness has been made. 2. The coefficient problem. Let 5 be the family of functions (2.1) ƒ(*) = z + a2z2 + azzz + • • •

which are regular and schlicht in \z\ < 1 . The most famous problem concerning these functions is whether \an\ ^n (n~2, 3, • • • ), with equality for any n only in the case when (2.2) ƒ(*) =
(1 Z

rjz)2

= z + 2Vz* + 3*8» + • • • ,

| n | - 1.

An address delivered before the Los Angeles meeting of the Society on November 30, 1946, by invitation of the Committee to Select Hour Speakers for Far Western Sectional Meetings; received by the editors December 30, 1946.

417

418

D. C. SPENCER

[May-

It is this problem which has stimulated much of the research leading to the various methods, in particular the method of parametric representation given by Löwner [7 J1 in 1923 and the recent methods (see [ l l , 12]) in which the extremal function is compared with infinitesimal variations more general than those provided by Löwner's method. There are several short proofs that \an\ ^n (n — 2, 3, • • • ) when all the coefficients are real, and a simple proof, due to Rogosinski [lO], will be sketched here. Without loss of generality we may assume that ƒ is regular and schlicht in \z\ ^ 1 , for every schlicht function is the limit of such functions. Since ƒ has real coefficients, it takes conjugate values for conjugate values of z and so the map of | z\ < 1 by ƒ is symmetrical with respect to the real axis. Since ƒ is schlicht, Im ƒ and Im s have the same sign in \z\ ^ 1 . The function (2.3) l—^-f(z)=p{z) z therefore has a positive real part in \z\ < 1 since on the boundary we have, writing z = ei6, Re p(eid)*=2 sin 0-Im f(ei9)^0. It follows that the coefficients of p are majorized by those of the function 1+z

« 1 + 2s + 2s2 + . . . .

1 — z Since the coefficients of this function as well as the coefficients of the function (2.4) — 1 — 2 = s + *3 + s 5 + . . . 1 — z

are positive, we see at once, multiplying both sides of (2.3) by (2.4), t h a t the coefficients of ƒ are majorized by the coefficients of the function (2.5)
Z iA

(1 - z)2

N9

- z + 2*2 + 3z* + . • . .

Similarly, \an\ ^n when ƒ maps \z\ < 1 on a star-like domain. In both cases equality is attained only when ƒ is of the form (2.2). We see here a connection between schlicht functions and functions with positive real part, a connection that will be further emphasized in §3 below. In the general case \an\ , 2f sin 2 tan a = 1 + 2r cos 2tf> + r2 2 2 Cx -s (1 + r) c o s A ç*2 = (1 ~r) sin \$, 2r 2r X = Ci log
P

/ ( \

T

w\ < a < — ), 2 2/

+ C 2 a - 2 cos 0,

(1 + r)*
/x = C2 log — - Cia + 2 sin 0. (1 - r) 2 The second analytic surface is defined by 02 = (X2 + /z2)1'2 «3 = X2 + M2 + (Ci + fC«)(X - t/i) \ X — ifx + (r + — + cos 2* Y X + ijit If ƒ(2) belongs to a point on this boundary surface of 5| 0) , then w=/(z) maps \z\ < 1 on the w-plane minus a single curved analytic p x

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SOME PROBLEMS IN CONFORMAL MAPPING

421

slit extending from w = to some finite point. As r—»0, the slit tends = * to a straight line arg (w) = constant and the corresponding ƒ tends to z/{l+er»z)K Asr->1, X — 2 cos {log (cos ju — 2(sin — cos 0). »

T h a t is, r = 1 corresponds to the edge of intersection of the two surfaces. For functions w—f(z) belonging to this edge, one of the two prongs of the fork is absent. Even in the case w = 3 w e observe that the equations defining the boundary of 5 3 are sufficiently complicated that it is difficult to infer directly from them t h a t |a 3 | g 3 . Since for n>3 the situation is much more complicated, the precise bounds for the coefficients, a specific question about these regions, remain undetermined. Other questions concerning these regions may be asked; for example, what are the maximum and minimum distances of the boundary of Sn from the origin (distance from the origin being equal to G C ^ I ^ I 2 ) 1 / 2 ). In the case of S 3 , the maximum distance of the boundary from the origin is (2 2 +3 2 ) 1 / 2 = 13 1/2 , attained only for functions of the form (2.2), and the minimum distance of the boundary from the origin is 3 1 / 2 /2, attained only for functions of the form 1 . . yz2 - -v2zz + • • • , U « 1{ l 1 - rjz/21^ + 17V 21'2 2 To each boundary point (a2y aZl • • • , an) of Sn there belongs one and only one function w *=f(z), and this iunction maps the unit circle on the w-plane minus piecewise analytic slits. Given any complex numbers p2, pz, • • • , pn, XX2I P*\2 = 1» let (2.8) = z+ L = Re fad* + pzaz + • • • + pnan) = (p2(t2 + p2&2 + * * ' + pndn + jMn)/2. If the maximum value of L in Sn is Af, then Sn lies entirely on one side of the (2n — 3)-dimensional hyperplane L~M. Since Sn cannot be convex for w > 2 , such a supporting hyperplane can touch the boundary only a t a well-defined subset of boundary points of Sn- Any function w=f belonging to a point of this subset maps \z\ < 1 on the w-plane minus one or more analytic slits meeting at infinity and each of these slits has no finite critical points and is therefore unforked. If for two different sets of numbers £2, pz, • • • , pn the corresponding Us given by (2.9) both have a local extremum at the same boundary point (a2, as, • • • , an) of S n , then the function ƒ belonging to this point is algebraic. These algebraic boundary functions map \z\ < 1 z 1

422

D. C. SPENCER

[May

onto the plane minus slits. It would be interesting to study the character of algebraic schlicht functions which map onto slit regions. The method used to characterize Sn has been sketched in [11(c)] and a detailed exposition is in course of preparation by A. C. Schaeffer and the author. Therefore, no attempt will be made to describe the method here. We remark only that the starting point of the method is to maximize a certain function F(a,2, â2, a3, âz, • • • , any ân) in 5 n , the maximum being attained at a boundary point {a^ a3, • • • , an). Iff belongs to this boundary point, a differential equation f o r / is obtained by making infinitesimal variations of this extremal function. The method then consists of a study of the resulting differential equation. In the next section (§3), Löwner's method of parametric representation will be briefly discussed. This method provides an e-variation of any schlicht function, but the variation is one-sided in that e can have only one sign. This defect does not occur in the more powerful variational methods recently developed (see [ l l ] and ). 3. Relations between coefficients of schlicht functions and coefficients of functions with positive real part. In the case of functions with positive real part, the regions of variability of the coefficients have been obtained by Carathéodory [ l ] , Toeplitz , and others. If numbers 71, 72, • • • , 7n-i are given, then there is a function (3.1) p(z) =
1 +

2 Ê M '

which is regular and has positive real part in \z\ < 1 with c\ = Yi> £2 = 72, • • • , cn-\ = Yn-i if and only if the Hermitian form n w

(3.2)

H = ]£ ]C YM-^V

is positive semi-definite, where 7o = 1 and 7_fc = 7 * is the complex conjugate of 7*. In geometrical language, there is a function p{z) with Re p(z)>0 in | s | < l if and only if (71, 72, • • • , 7 n -i) lies inside or on the boundary of the smallest convex region containing the curve eie, e2id, • • • , e i(n ~ 1)ô (6 real), and the interior of this region is characterized by the property that H is positive definite there. The nth region of variability Pn is the set of points (ci, c% • • • , cn-i) each of which belongs to some p(z). The points of Pn have the one-to-one parametric representation

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SOME PROBLEMS I N CONFORMAL MAPPING

423

(3.3)

n_x

~ 0 ^ 0,- < 2ir,

E / * / S 1, y-i EJ-IM/5*!-

and the boundary of Pn is characterized by the condition that T o each boundary point defined by (3.3) there belongs only one function, namely
«—I J JL (>Mjz n—1 E M / /«i

(3.4)

p(z)

- E M / » *.i 1 -

—> e**z 1.

Rogosinski [lO] has studied the class of functions f(z) = z + «222 + a3z8 + • • • which are regular for \z\ < 1 and have the property that Im ƒ and Im z have the same sign in \z\ < 1 , a property which implies that all the coefficients are real. We have seen that schlicht functions with real coefficients have this property, and the argument used above to prove that \an\ ^n for schlicht functions with real coefficients extends at once to this wider class of power series, a class of functions which Rogosinski has called "typically-real." In fact, if ƒ is typicallyreal then

(3.5)

Ll£.f(z)-p(z) z is a function of positive real part, and conversely. From this simple relation the variability regions Tn for the coefficients of typically-real functions are easily obtained from the corresponding regions Pn for functions with positive real part. I t is readily seen that Tn is the smallest convex region containing the wth variability region for schlicht functions all of whose coefficients are real. This raises an interesting question: what is the smallest convex region containing Sn itself? A domain containing w = 0 is said to be star-like (with respect to w = 0) if any point of it can be joined to the origin by a straight-line segment which lies in the domain. The variability regions S* for the subfamily of schlicht functions which map \z\ < 1 onto star-like domains are also related to the regions Pn in a simple way. This follows from the fact that if ƒ maps | z | < 1 onto a star-like domain, then (3.6) ƒ(*) J-L-piz), zf(z)

424

D. C. SPENCER

[May

where p(z) is regular and has positive real part in \z\ < 1 . Conversely, if p(z) is regular and has positive real part in | s | < 1 , then (3.7) I —~rd^ J o tp{£) is regular in \z\ < 1 and maps the unit circle on a star-like domain. Writing /«-«exp
00

p{z) - 1 + 2 X ) ^ V , r-l we have
2

^

^

Ù2 =

— 2Ci,

#3 =

~" ^2 +

4Ci,

s a4 = ( - 2c3 + Udc2 - 24*0/3, The parametric representation of Pn given by (3.3) may be used to define a parametric representation of Sn*. Let
(3.9) ah = A*(01, 02, • • • , 0n-lî Ml, M2, * • ' , Mn-l)

(3.8)

be the £th coefficient of the function (3.10) ƒ(*) = — y=i ,

/*, ^ 0, 2 > , ^ 1,

II (1 ~ e**z)** which maps |JS| < 1 on a star-like domain. As the parameters vary over the parameter space, the point (a2, as, • • • , an) sweeps outS w *. The boundary of 5„* is characterized by the condition (3.11) Z \ , = 1, p«i and to each boundary point defined in this way there belongs the unique function given by (3.10). In this case the function (3.10) maps \z\ < 1 on the plane minus q ( l ^ g ^ w — 1) straight-line slits pointing toward the origin, and adjacent slits form at oo an angle equal to 2JJLVTT. The intersection of the boundary of Sn with Sn* is the subset of the boundary of Sf* for which
AM
n~~"l

(3.12)

fxv =

v

y

£ w „ = * — 1, v «i

k — 1

where m, and k are integers,

ra„^0,

2^kSn.

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SOME PROBLEMS IN CONFORMAI. MAPPING

425

The method of Löwner  provides a deeper connection between schlicht functions and functions with positive real part. Heuristically, the method may be briefly described as follows. For each r, O ^ r g T ( T X ) ) , let S(z, r ) , 5(0, r) = 0 , be a schlicht function mapping \z\ < 1 onto a star-like domain D*. Then for any t>0, the values of the function £""*.S(2, r) lie inside D* and so the function \$=\$(2;, t, r) =5~1(e""'5(2;, r ) , T), where S"1 denotes the function inverse to 5, is regular, schlicht and bounded by 1 in l^j < 1 . We have S(z, r) dt and so (3.13) S-K(r"S{z, t), t)=z^Aràt S (z, t) + o(At).
S'(Z,T)'

Now let us define a one-parameter family of functions (3.14) g(z, t) = y(t)(z + a2(t)z* + az(t)z* + • • • ) , y(t) > 0,

which are regular and schlicht in \z\ < 1 for O ^ ^ T and such that (3.15) By (3.13) dg(z, t) g(z, t + At) = g(z91) - 2 - ^ — - p(z, t)At + o(At) dz where p(z, t)=S(z, t)/(zS'(z, t)) has positive real part in \z\ < 1 . Dividing by At and letting At approach zero, we obtain the differential equation (3.16) (3.17) — - — = - z — - — p ( z , t). dt dz g(z, t + At) = g(S-Ke-AtS(z, /), /), t).

If we divide both sides of (3.17) by z and then take 2 = 0, we have
( 3 .18)

JUat

„ _

7(/),

y{t)

=

7(0)r«.

The equation (3.17) may also be given a direct geometrical interpretation. Suppose t h a t g(z, t) and p{z, t) are both regular and Re p>0 in | z | ^ 1 for O g / ^ T . Taking 3 = e" in (3.16) we have

426

D. C. SPENCER

[May

dg(eie, t) (3.19) g(é*, t + At) = g(e*t t) + i p(e", t)At + o(At). dB The map D% of | ^ | < 1 by g(z, /) is a domain bounded by an analytic curve; the quantity idg(ei\$, t)/dO has the direction of the inner normal to the boundary of Dt at the point w = g(eie, t) and idg{eiB, t)/dd 'p(eie, t) is a vector which makes an angle less than TT/2 with this inner normal. Equation (3.19) states that the boundary point g(ei9, t+At) of the domain Dt+At lies inside Du Thus, as t increases from 0 to T, the domain Dt shrinks and, if t' (the map of \z\ < 1 by g(z, /'))• Actually, Löwner's parameter t moves in the opposite sense (corresponding to (3.24)), in which case the inclusion relation between D%* and Dt" is reversed, and he showed that any schlicht function of an everywhere dense set can be connected to the function f(z)=z by a curve corresponding to a function p(z, t) of the form (3.25) which depends continuously on /. If the functions p(z, t) are not restricted to be of the form (3.25) and if the continuity in / is dropped, then 3 it can be shown that any schlicht function can be connected to f(z}—z9 but it is not known t h a t this can be done using only functions of the form (3.25), even without continuity. Take / " = r , *' = 0 in (3.24), and let the value T of the parameter correspond tof(z) =z, in which case ak(T)=0 (& = 2, 3, • • • ). Writing ajb(O) =dk (k = 2, 3, • • • ), we then obtain, by recursion, the formulas : (3.26) (3.27) a2 = - 2 f e-TCi(T)dT,
Jo

a3 = - 2 f

e-^c2{T)dr + 4 ( f

e^Cl(r)dr\

,

o

e-ZTcz{r)dr + 12 I e~ 2r c 2 (r)Jr- | e-TCi{r)dr •/ o Jo

ƒ
• T /» r

- 8 ( ƒ e-Mr)dr J ,
8

An unpublished result of A. C. Schaeffer and the author.

428
#n
s=s

D. C. SPENCER
/ J \ IJ J- a i « a • • • ajfe

[May

I

••• I

exp

— X) avTv

* I I Cav{rv)dTldT2 • • • ^T*, v=l where r a i ^ . . . « f c = 2 A (^ — «i)(n — ai — a 2 ) • • • (n — ai — « 2 — • • • — «*), the ai, a 2 , • • • , a& being positive integers with sum n — l. Now the interior points of Sn are characterized by the property that bounded functions belong to them. Given an interior point (a2, a3, • • • , a») of Sn, let the minimum maximum modulus of all functions ƒ belonging to this point be e'(/^Q). The set of points of Sn which are representable by the formulas (3.26) to (3.29), in which the CV(T) 0> = 1, 2, • • • , n — 1) are measurable functions of T, is exactly the set of interior points of Sn corresponding to the values t^T. If, therefore, we take T= oo in these formulas, any point of 5 w may be given this integral representation for suitable choice of the curve (ci(r), £ 2 (r), • • • , cn-i(r)). More generally, given any schlicht function f(z) = z + a2z2 + azzz + • • • , there is a function p(z, r) = 1+2^^>:SS1CV(T)ZV such that the coefficients a n (« = 2, 3, • • • ) are given by (3.29). Conversely, given any function p(z, r ) , the coefficients denned by (3.29) belong to a schlicht function. The correspondence between f unctions ƒ (2) and p(z, r) is not one-to-one; in general infinitely many p(z, r) correspond to a schlicht function ƒ. To any ƒ which has real coefficients, there is a corresponding p(z, r) which has real coefficients. Now if Cu £2, £3, • • • belong to a function with positive real part, so do the numbers Re £1, Re c2, Re cz, • • • (this follows from the convexity of the family of functions p). Thus if in (3.29) we replace the c„(r) by their real parts, the resulting an belongs to a schlicht function with real coefficients. From this remark, it follows at once that |a 2 | r§2, \az\ g 3 , for complex coefficients. For example, to show that |a 3 | ^ 3 , we may suppose without loss of generality t h a t a 3 > 0 . For, given any schlicht function ƒ, we have only to consider the function e~i9f(ei9z) = z + a2ei\$z2 + aze™zz + • • • which, for suitable choice of 0, will have a real non-negative third co-

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SOME PROBLEMS IN CONFORMAL MAPPING

429

efficient. But if az is real we have from (3.27) (with T = oo) a3 = - 2 J - 4M e~2r Re
C2(T)

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...created between the human phenomenal world (the personal and historical world) and the purely abstract mathematical world of science governed by naturalistic research. Naturalistic research seems to flagrantly ignore that scientific truth is always dependent on its historical (socio-political), individual and circumstancial frame/background. The human phenomenal world is the basis of the scientist phenomenal world. Already in the 60s, Skinner’s Verbal Behavior was criticized by O.K. Tikhomirov for its humanist materialism and overall reductionist dimension. Reductionism bases its approach and results accruing/acquiring techniques on empiricism, numerology (numbers, measurements, axiometrics…), logic and mathematics. In their contemporary mapping of all human activities/behavior/emotions/flaws, etc., socio-biology, genomics, psychobiology, evolutionary psychology…, exemplify this reductionist tendency by disaggregating/reducing complex social and emotional behavior into a sort of monad (for convenience’s sake let’s hijack Leibniz’ s term although Leibniz has nothing to do with this trend) and posits as its premise, which “surprisingly,” it will also find intact at the end of the demonstrative process. For instance violence becomes a “monad” which stands for all kinds of different violence or aggressive behavior/attitude, social or individual (war, men’s violence against women, violence against children, or animals, war violence, crimes, genocides, massacres, picket-line......

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#### Benchmarking of Coke

...of the ICT systems and the continuous workflow in the shop floor or in the field. • This integration of RFID-enabled systems (e.g. tags for equipment, machines, operators, products, material, and consumables) in a global service network introduces new challenges regarding the support of diverse and heterogeneous data models and ontologies, which are imposing diverse demands on data exchange and (intelligent) transformation, due to the decentralised and partly new requirements for data interpretation. • Currently, RFID technology is handled as an add-on and not fully integrated in the overall product life-cycle, still imposing additional efforts to integrate RFID with the product itself (e.g. attaching RFID readers in mobile phones, mapping RFID specific data to manufacturing/ maintenance data) within the manufacturing or maintenance process. Standards and regulation • These RFID data models and ontologies can only be adopted in an efficient way if proper standards and standardisation roadmaps exist to give directions and confidence to all technology providers and end users. • As mentioned above, RFID will enable remote monitoring and autonomous behaviour of products and machines. Generic solutions will be needed to assure the integrity of services, especially when considering security of users and workers, and the cost of downtime of products and machines. These solutions will need to be reinforced by standards and regulations. • There are generally no models for...

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#### Chapter 1 Human Geo Notes

...sized territory that encompasses many places, all or most of which share similar attributes in comparison with the attributes of places elsewhere * Remote sensing: the collection of information about parts of the Earth’s surface by means of aerial photography or satellite imagery designed to record data on visible, infrared and microwave sensor systems * Model: often described as a theory or concept, a model is best thought of as “a simplification of reality” designed to help generalize our understanding of a particular process or set of phenomena. it can take the form of a diagram, equation, or simple verbal statement (such as a law) and may be used as a summary of past and present behaviour or to predict future events * Conformal projections: map projections on which compass bearings are rendered accurately * Equal-area (equivalent) projections: map projections that portray areas on Earth’s surface in their true proportions * Visualization: a computer assisted representation of spatial data, often involving 3D images and innovative perspectives, that reveals spatial * Latitude: the angular distance of a point on the Eath’s surface, measured north or south from the equator, which is 0˚. * Longitude: the angular distance of a point on Earth’s surface, measured east or west from the prime meridian (the line that passes through both poles and through Greenwich, England, and that has the value of 0˚. * Global Positioning system: a system of......

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#### Gate

...primary/secondary metabolites, such as baker’s yeast, ethanol, citric acid, amino acids, exo-polysacharides, antibiotics and pigments etc.; Microbial production, purification and bioprocess application(s) of industrial enzymes; Production and purification of recombinant proteins on a large scale; Chromatographic and membrane based bioseparation methods; Immobilization of enzymes and cells and their application for bioconversion processes. Molecular Biology and Genetics: Molecular structure of genes and chromosomes; DNA replication and control; Transcription and its control; Translational processes; Regulatory controls in prokaryotes and eukaryotes; Mendelian inheritance; Gene interaction; Complementation; Linkage, recombination and chromosome mapping; Extrachromosomal inheritance; Chromosomal variation; Population genetics; Transposable elements, Molecular basis of genetic diseases and applications. 30 | P a g e Graduate Aptitude Test in Engineering Aerobic and anaerobic biological processes for stabilization of solid / liquid wastes; Bioremediation. GATE 2014 Brochure Bioprocess Engineering: Kinetics of microbial growth, substrate utilization and product formation; Simple structured models; Sterilization of air and media; Batch, fedbatch and continuous processes; Aeration and agitation; Mass transfer in bioreactors; Rheology of fermentation fluids; Scale-up concepts; Design of fermentation media; Various types of microbial and enzyme reactors;......

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#### Syllabus

...Complex Function, Concept of continuity and differentiability of a complex function, CauchyRiemann equations, necessary and sufficient conditions for differentiability (Statement only). Study of complex functions: Exponential function, Trigonometric functions, Hyperbolic functions, real and imaginary part of trigonometric and hyperbolic functions, Logarithmic functions of a complex variable, complex exponents. (Scope as in Chapter 12, Section 12.3 -12.4, 12.6-12.8 of Reference 1). Laurent' Series of function of complex variable, Singularities and Zeros, Residues at simple poles and Residue at a pole of any order, Residue Theorem (Statement only) and its simple applications. (Scope as in Chapter 15, Section 15.5, 15.3 of Reference 1) Conformal Mappings, Linear Fractional Transformations. (Scope as in Chapter 12, Sections 12.5, 12.9 of Reference I) (08) (07) (08) 1. 2. E. Kreyszig G.B. Thomas, R.L. Finney : : Text Books: Advanced Engineering Mathematics, 81h Edition, John Wiley. Calculus, 91b Edition, Pearson Education. References: 3 Michael D. Greenberg : Advanced Engineering Mathematics, 2nd Edition, Pearson Education. Complex Variables and Applications, 6th Edition, McGraw Hill, Singapore, 1996. Linear Algebra, Narosa Publishing House, New Delhi 2002. 4. R. V. Churchill, J.W. Brown : 5 VivekSahai , Vikasvisht : Paper Title: DIGITAL ELECTRONICS Paper Code: EC316 Credits : 04 Max. Marks (Final Exam): 50 Max. Marks (Sessional......

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#### Engineering

...ilintisi katsayısı belirsizlik katsayısı gidergenlik kuvveti gidergenlik biliş bilişsel süreç evreuyumluluk evreuyumlu evreuyumlu salıngaç evreuyumlu alıcı evreuyumlu sinyal algılama tümleşik ölçüm birimi bobin pupenleme ankesörlü telefon sistemi çakışma elle yedekleme en baştan başlatma, elle başlatma imeceli bilgi işleme 1) çökme; 2) daraltmak (bilgi işlem) harmanlamak harmanlama sırası collect call collection collective standard collimating lens collimator collinear points collinearity collision avoidance collision collision detection collision excitation collision frequency collision probability colon alignment color filter color graphics color map color palette color picture tube color segmentation color wheel colored noise colour mapping column break column check column column heading column marker comb filter combination combinatorial combine, to combined combined file combiner comma alignment comma delimited comma command command and control command file command interpreter command key command language command line command net command processing command processor command prompt command sequence ödemeli çağrı derlem, koleksiyon bileşik standart koşutlayıcı mercek koşutlayıcı doğrudaş noktalar doğrudaşlık engel sakınma çarpışma çarpışma sezimi çarpışma ile uyarma çarpışma sıklığı çarpışma olasılığı iki noktaya göre hizalama renk süzgeci renkli grafik renk eşlemi renk paleti renkli resim tübü renk bölütlemesi renk tekeri renkli gürültü renk eşlemi; renk......

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#### Fluid Mechanics

...quantity pn+ρu(u·n) is the momentum ﬂux per unit area crossing ∂W , where n is the unit outward normal to ∂W . This derivation of the integral balance law for momentum proceeded via the diﬀerential law. With an eye to assuming as little diﬀerentiability as possible, it is useful to proceed to the integral law directly and, as with conservation of mass, derive the diﬀerential form from it. To do this carefully requires us to introduce some useful notions. As earlier, let D denote the region in which the ﬂuid is moving. Let x ∈ D and let us write ϕ(x, t) for the trajectory followed by the particle that is at point x at time t = 0. We will assume ϕ is smooth enough so the following manipulations are legitimate and for ﬁxed t, ϕ is an invertible mapping. Let ϕt denote the map x → ϕ(x, t); that is, with ﬁxed t, this map advances each ﬂuid particle from its position at time t = 0 to its position at time t. Here, of course, the subscript does not denote diﬀerentiation. We call ϕ the ﬂuid ﬂow map. If W is a region in D, then ϕt (W ) = Wt is the volume W moving with the ﬂuid . See Figure 1.1.4. The “primitive” integral form of balance of momentum states that d dt ρu dV = S∂Wt + Wt Wt ρb dV, (BM3) that is, the rate of change of momentum of a moving piece of ﬂuid equals the total force (surface stresses plus body forces) acting on it. These two forms of balance of momentum (BM1) and (BM3) are equivalent. To prove this, we use the change of variables theorem to write d dt ρu dV......

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